Sentiment Analysis

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. [TBC]

We use positive and negative indicators from an VADER sentiment lexicon, which is is sensitive both the **polarity** and the **intensity** of sentiments expressed in social media contexts. But it is also generally applicable to sentiment analysis in other domains.

To use this web service, you can either POST a JSON with the following format:

{
"review":"review text...."
}

or

{
"sentences": ["sentence 1", "sentence 2",...]
}

It returns an overall sentiment of the review, which is called “overall_compound”. Additionally, it returns the sentiment of each sentence as well as the individual polarity (negative, neutral, positive). The service response is formatted in JSON format, as the following example shows: